451 search results - page 43 / 91 » Approximation algorithms for stochastic orienteering |
107
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ATAL
2007
Springer
15 years 6 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
SECON
2010
IEEE
14 years 10 months ago
2010
IEEE
In this paper, we address several problems that arise in the context of rotating directional sensors. Rotating directional sensors (RDS) have a "directional" coverage reg...
121
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ICML
1998
IEEE
16 years 1 months ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
103
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JAIR
2010
14 years 11 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
88
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ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...